Soybean culture in the Rio Grande do Sul

Column

Production value in 2017

Dispersion plots for 2017

Top production values in 2017

Top 20 cities with higher soybean production values in 2017 and their corresponding covariates.
Ranking City Production value¹ Soy production² Average yield³ Number of establishments
1 Tupanciretã 526084 494609 3.543527 832
2 Júlio de Castilhos 398016 382200 3.588665 721
3 Cruz Alta 354114 335237 3.689112 376
4 São Gabriel 341687 324622 2.716866 498
5 Santa Bárbara do Sul 318253 305798 4.012202 549
6 Palmeira das Missões 317178 303013 3.737348 669
7 Cachoeira do Sul 314388 296988 2.980520 518
8 Dom Pedrito 291356 269320 2.909586 233
9 Jóia 222875 216667 3.153125 1015
10 São Luiz Gonzaga 202823 195717 3.337545 530
11 São Miguel das Missões 201015 196881 3.271427 487
12 Giruá 196484 193933 3.467486 1225
13 Rio Pardo 186488 174771 3.057575 387
14 Carazinho 185160 172005 4.105327 274
15 Capão do Cipó 179273 174767 2.522363 294
16 São Sepé 175423 167079 3.055522 372
17 Lagoa Vermelha 169436 158998 3.639897 480
18 São Borja 167738 167969 2.848525 256
19 Espumoso 165580 161089 3.556834 867
20 Bagé 163861 148832 3.016580 138
Note:
1 in x1000 R$;
2 in tonnes;
3 in tones/ha

Column

Production value in 2018

Dispersion plots for 2018

Top production values in 2018

Top 20 cities with higher soybean production values in 2018 and their corresponding covariates.
Ranking City Production value¹ Soy production² Average yield³ Number of establishments
1 Tupanciretã 593392 477910 3.205299 832
2 Cruz Alta 434700 326160 3.507097 376
3 Júlio de Castilhos 418000 332400 3.613043 721
4 Palmeira das Missões 386756 318100 3.518805 669
5 Santa Bárbara do Sul 372720 279610 4.011621 549
6 Jóia 331531 269100 3.322222 1015
7 Cachoeira do Sul 322647 329232 2.312022 518
8 São Luiz Gonzaga 318761 265634 3.293664 530
9 São Miguel das Missões 303120 252600 3.323684 487
10 São Gabriel 300334 254520 2.520000 498
11 Lagoa Vermelha 276055 165600 3.600000 480
12 Espumoso 255456 191640 3.728405 867
13 Giruá 244598 214560 3.300923 1225
14 Vacaria 230384 187000 3.400000 208
15 Capão do Cipó 228773 183184 2.896190 294
16 Dom Pedrito 224640 192000 1.920000 233
17 Muitos Capões 215365 175500 3.900000 156
18 Ibirubá 212267 159240 3.755660 1005
19 Santa Maria 198770 157904 3.200000 323
20 Boa Vista do Cadeado 184052 148770 3.609170 353
Note:
1 in x1000 R$;
2 in tonnes;
3 in tones/ha

About

Goals

This dashboard allows us to describe the behavior of some variables related to the soybean production in the Rio Grande do Sul for 2017 and 2018. It was developed as a visualization tool for the data used in the paper entitled ``Modeling soybean production value in the Rio Grande do Sul with GAMLSS’’, which is accepted to Communications in Statistics: Case Studies, Data Analysis and Applications, ISSN: 2373-7484.

The data

The data are obtained from the Department of Economics and Statistics (DEE) of Rio Grande do Sul and is available in the link http://feedados.fee.tche.br/feedados/. The Rio Grande do Sul has 497 cities, of which 405 had soybean production in 2017 and 418 in 2018.

Source files

The current application was implemented in the R Project for Statistical Computing, and the codes are available in the link https://github.com/dashboards15/soybean.